Associate / Senior Associate - Cloud, Data and AI (Cloud & AI Engineer) — PwC Switzerland
CHF 68'000 - 103'000
PwC Switzerland · Zurich (ZH)
- Location
- Zurich
- Contract
- other
- Posted
- 113 days ago
SalaryCHF 68'000 - 103'000
Role overview
The Cloud, Data & AI team at PwC develops AI systems that are used productively and remain in place over the long term.
- The Cloud, Data & AI team at PwC develops AI systems that are used productively and remain in place over the long term.
- Design and define system architectures and select appropriate technologies
- Control autonomous coding workflows: direct AI coding agents to generate, review and refine code
- Core technical competencies
- Knowledge of Python, AI/ML frameworks, REST APIs, backend development, Git workflows and Code review processes. Databases and Infrastructure
- Technical degree in computer science or related field, proven development of production-ready AI applications or significant projects. Cosa offriamo
Main responsibilities
- Design and define system architectures and select appropriate technologies
- Control autonomous coding workflows: direct AI coding agents to generate, review and refine code
Key requirements
- Core technical competencies
- Knowledge of Python, AI/ML frameworks, REST APIs, backend development, Git workflows and Code review processes. Databases and Infrastructure
- Experience with relational and NoSQL databases (e.g.
- PostgreSQL, MongoDB), CI/CD pipelines, automated testing and cloud deployments (Azure, AWS, GCP).
What the company offers
- Technical degree in computer science or related field, proven development of production-ready AI applications or significant projects. Cosa offriamo
Application process
- In direct communication with customers, we design, develop and implement generative AI applications in cloud environments to significantly solve real business challenges.
- Develop generative AI applications from concept phase to productive deployment
- Work directly with customers, identify business requirements and deliver technical solutions
- Implement AI solutions in the cloud, preferably on Azure, alternatively on GCP or AWS
- Design and operate data architectures, including data pipelines and vector databases
- Ensure stringent technical discipline with testing, code reviews, CI/CD and monitoring
- Drive the further development of internal frameworks, tools and methodologies for AI-supported development
- AI/ML expertise - building and operating AI/ML applications, integration of large language model APIs (e.g.
Contacts
- (Non specificato)
Additional details
- Descrizione The Cloud, Data & AI team at PwC develops AI systems that are used productively and remain in place over the long term.
- Knowledge of Python, AI/ML frameworks, REST APIs, backend development, Git workflows and Code review processes. Databases and Infrastructure
- Azure OpenAI), RAG architectures, embeddings, prompt engineering and model evaluation. Generative AI and AI-Powered Workflows
- Experience with AI-powered development tools, autonomous coding workflows, and controlling precise AI agents. Way of working and soft skills
- Knowledge of Go or Rust, MLOps (model versioning, monitoring), parallel AI coding agents and multi-agent architectures. Agile and open source experience
- Agile working on customer projects, contributions to open source projects or a portfolio of AI-related work. Education and Professional
- Technical degree in computer science or related field, proven development of production-ready AI applications or significant projects. Contatto (Non specificato)
Notes and original content
- Knowledge of Python, AI/ML frameworks, REST APIs, backend development, Git workflows and Code review processes.
- Databases and Infrastructure
- Azure OpenAI), RAG architectures, embeddings, prompt engineering and model evaluation.
- Generative AI and AI-Powered Workflows
- Experience with AI-powered development tools, autonomous coding workflows, and controlling precise AI agents.
- Way of working and soft skills
- Knowledge of Go or Rust, MLOps (model versioning, monitoring), parallel AI coding agents and multi-agent architectures.
- Agile and open source experience
- Agile working on customer projects, contributions to open source projects or a portfolio of AI-related work.
- Education and Professional
